👋 Hi there! I’m Ahmed Mohamed Al-Deeb, a driven researcher and developer passionate about harnessing the power of Artificial Intelligence, Machine Learning, and Biomedical Engineering to create innovative solutions that make a difference. 🚀
- 🖼️ AI-Generated Image Detection: Developed fingerprint-based detection models for generative models like GANs and DM.
- 🎓 Real-Time Student Engagement Monitoring: Designed models achieving >97% accuracy for drowsiness detection, earning 1st place at IEEE Egyptian Student Paper Contest '24.
- 📊 Data Science in Healthcare: Built predictive models for customer insights at Integrated Diagnostics Holding.
Languages: Python, C++, JavaScript
Frameworks: PyTorch, TensorFlow, ReactJS, Flask
Libraries: OpenCV, NumPy, Scikit-Image
Other Tools: Docker, PostgreSQL, Git, RESTful APIs
🏆 1st Place: IEEE Egyptian Student Paper Contest '24
🏆 1st Place: Nile University Undergraduate Research Forum '24
✨ Innovator: AI-powered solutions that bridge the gap between research and real-world applications.
I’m always eager to:
- Collaborate on cutting-edge research and open-source projects.
- Build impactful tools that solve real-world challenges.
- Mentor and support others in the tech community.
- 🌐 GitHub: AhmedXAlDeeb
- 💼 LinkedIn: Ahmed Mohamed Al-Deeb
- 📊 Kaggle: Ahmed Al-Deeb
- AI-Generated Images Detection: Leveraging generative model fingerprints for image authenticity verification.
- Video Anomaly Detection: Real-time security monitoring using ConvLSTM and YOLOv8.
- IseeU Healthcare System: A web app for ICU healthcare management.
✨ "Transforming technology into meaningful solutions."